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Title:
Bioconductor - omada
Description:
Symptomatic heterogeneity in complex diseases reveals differences in molecular states that need to be investigated. However, selecting the numerous parameters of an exploratory clustering analysis in RNA profiling studies requires deep understanding of machine learning and extensive computational experimentation. Tools that assist with such decisions without prior field knowledge are nonexistent and further gene association analyses need to be performed independently. We have developed a suite of tools to automate these processes and make robust unsupervised clustering of transcriptomic data more accessible through automated machine learning based functions. The efficiency of each tool was tested with four datasets characterised by different expression signal strengths. Our toolkit’s decisions reflected the real number of stable partitions in datasets where the subgroups are discernible. Even in datasets with less clear biological distinctions, stable subgroups with different expression profiles and clinical associations were found.
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Keywords {🔍}
bioconductor, package, version, packages, omada, clustering, machine, learning, tools, release, source, automated, analysis, datasets, kariotis, enter, install, binary, learn, developers, started, software, transcriptome, decisions, expression, stable, subgroups, sokratis, httpsbioconductororgpackagesomada, installation, start, documentation, system, text, license, details, bioc, clvalid, stats, url, macos, omadatgz, repository, git, clone, reports, code, registration, open, gbcc,
Topics {✒️}
org/packages/omada source repository joint galaxy/bioconductor conference bioconductor release tgz source repository source package org/packages/omada exploratory clustering analysis release //code bioconductor support site extensive computational experimentation prior field knowledge gene association analyses clear biological distinctions script reference manual gz windows binary machine learning tools expression signal strengths package installed sokratis kariotis [aut package version 1 git clone https tgz macos binary details biocviews machine learning package started install packages macos binary software version //bioconductor bioconductor expression profiles registration open symptomatic heterogeneity molecular states numerous parameters performed independently transcriptomic data real number stable partitions clinical associations cre] orcid quietly = true older versions pdf news gpl-3 depends developer access org released version
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